Build machine learning product systems at Faire with backend engineering and experimentation skills in a hybrid work model. Improve listings across millions of products.As a Senior Product Engineer on the Listing Quality team, you will connect Brand Data Science outputs with Faire’s live product. Your work spans backend services, data pipelines, computer vision, LLM outputs, and online experiments. You will help retailers discover well-curated products while maintaining dependable catalog-scale systems.Key Responsibilities:
Build backend services moving model enhancements into the live productDesign dependable generation infrastructure with monitoring and versioningCreate contracts, auditing tools,
and evaluation hooks for experimentsShip flagged changes and own launch readiness and post-launch healthMentor engineers on technical and product judgmentRequirements:
Five or more years of engineering experienceExperience operating data pipelines with Airflow or similarComfort working with production ML or LLM outputsFluency designing experiments and interpreting resultsBachelor’s degree or equivalent industry experienceApply senior backend, machine learning, and experimentation expertise to improve Faire’s product listings reliably at catalog scale.
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